📰 CoNLL 2010 — accepted papers

CoNLL 2010 is the 2010 edition of the Conference on Computational Natural Language Learning (CoNLL), held in Uppsala, Sweden, July 2010 (publisher: Association for Computational Linguistics). OpenAlex lists 50 papers of it; our library holds 17 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

All accepted papers (50)

The most cited first; 17 with our summary link to their page here, the others to the original.

1. (Invited Talk) Bayesian Hidden Markov Models and ExtensionsZoubin Ghahramani
2. (Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic InformationLillian Lee
3. A Baseline Approach for Detecting Sentences Containing UncertaintyErik Tjong Kim Sang
4. A Cascade Method for Detecting Hedges and their Scope in Natural Language TextBuzhou Tang, Xiaolong Wang, Xuan Wang et al.our summary
5. A Comparative Study of Bayesian Models for Unsupervised Sentiment DetectionChenghua Lin, Yulan He, Richard Everson
6. A Hedgehop over a Max-Margin Framework Using Hedge CuesMaria Georgesculour summary
7. A High-Precision Approach to Detecting Hedges and their ScopesHalil Kilicoglu, Sabine Berglerour summary
8. A Hybrid Approach to Emotional Sentence Polarity and Intensity ClassificationJorge Carrillo de Albornoz, Laura Plaza, Pablo Gervás
9. A Lucene and Maximum Entropy Model Based Hedge Detection SystemLin Chen, Barbara Di Eugenioour summary
10. A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine TranslationSankaranarayanan Ananthakrishnan, Rohit Prasad, David Stallard et al.
11. A Simple Ensemble Method for Hedge IdentificationFerenc Szidarovszky, Illés Solt, Domonkos Tikkour summary
12. Combining Manual Rules and Supervised Learning for Hedge Cue and Scope DetectionMarek Rei, Ted Briscoeour summary
13. Computing Optimal Alignments for the IBM-3 Translation ModelThomas Schoenemann
14. Cross-Caption Coreference Resolution for Automatic Image UnderstandingMicah Hodosh, Peter Young, Cyrus Rashtchian et al.
15. Detecting Hedge Cues and their Scopes with Average PerceptronFeng Ji, Xipeng Qiu, Xuanjing Huangour summary
16. Detecting Speculative Language Using Syntactic Dependencies and Logistic RegressionAndreas Vlachos, Mark Cravenour summary
17. Distributed Asynchronous Online Learning for Natural Language ProcessingKevin Gimpel, Dipanjan Das, Noah A. Smith
18. Driving Semantic Parsing from the World's ResponseJames Clarke, Dan Goldwasser, Ming-Wei Chang et al.
19. Efficient, Correct, Unsupervised Learning for Context-Sensitive LanguagesAlexander Clark
20. Exploiting CCG Structures with Tree Kernels for Speculation DetectionLiliana Mamani Sánchez, Baoli Li, Carl Vogelour summary
21. Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical TextsHuiwei Zhou, Xiaoyan Li, Degen Huang et al.
22. Exploiting Rich Features for Detecting Hedges and their ScopeXinxin Li, Jianping Shen, Xiang Gao et al.our summary
23. Features for Detecting Hedge CuesNobuyuki Shimizu, Hiroshi Nakagawaour summary
24. Hedge Classification with Syntactic Dependency Features Based on an Ensemble ClassifierYi Zheng, Qifeng Dai, Qiming Luo et al.
25. Hedge Detection Using the RelHunter ApproachEraldo Fernandes, Carlos Crestana, Ruy Milidiúour summary

See all 50 papers in CoNLL 2010 — accepted papers →

📄 Papers with our summary in our library (17)

The most cited first (OpenAlex citations plus our library's).

1. The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language TextConference on Computational Natural Language Learning (CoNLL)Richárd Farkas, Veronika Vincze, György Móra, et al.2010 · 370 citations
2. Semi-Supervised Recognition of Sarcasm in Twitter and AmazonConference on Computational Natural Language Learning (CoNLL)Dmitry Davidov, Oren Tsur, Ari Rappoport2010 · 199 citations
3. A Cascade Method for Detecting Hedges and their Scope in Natural Language TextConference on Computational Natural Language Learning (CoNLL)Buzhou Tang, Xiaolong Wang, Xuan Wang, et al.2010 · 65 citations
4. Memory-Based Resolution of In-Sentence Scopes of Hedge CuesConference on Computational Natural Language Learning (CoNLL)Roser Morante, Vincent Van Asch, Walter Daelemans2010 · 48 citations
5. A Hedgehop over a Max-Margin Framework Using Hedge CuesConference on Computational Natural Language Learning (CoNLL)Maria Georgescul2010 · 26 citations
6. A High-Precision Approach to Detecting Hedges and their ScopesConference on Computational Natural Language Learning (CoNLL)Halil Kilicoglu, Sabine Bergler2010 · 25 citations
7. Detecting Speculative Language Using Syntactic Dependencies and Logistic RegressionConference on Computational Natural Language Learning (CoNLL)Andreas Vlachos, Mark Craven2010 · 23 citations
8. Exploiting Rich Features for Detecting Hedges and their ScopeConference on Computational Natural Language Learning (CoNLL)Xinxin Li, Jianping Shen, Xiang Gao, et al.2010 · 21 citations
9. Combining Manual Rules and Supervised Learning for Hedge Cue and Scope DetectionConference on Computational Natural Language Learning (CoNLL)Marek Rei, Ted Briscoe2010 · 20 citations
10. HedgeHunter: A System for Hedge Detection and Uncertainty ClassificationConference on Computational Natural Language Learning (CoNLL)David Clausen2010 · 15 citations
11. Hedge Detection Using the RelHunter ApproachConference on Computational Natural Language Learning (CoNLL)Eraldo Fernandes, Carlos Crestana, Ruy Milidiú2010 · 9 citations
12. Exploiting CCG Structures with Tree Kernels for Speculation DetectionConference on Computational Natural Language Learning (CoNLL)Liliana Mamani Sánchez, Baoli Li, Carl Vogel2010 · 9 citations
13. Detecting Hedge Cues and their Scopes with Average PerceptronConference on Computational Natural Language Learning (CoNLL)Feng Ji, Xipeng Qiu, Xuanjing Huang2010 · 7 citations
14. Uncertainty Detection as Approximate Max-Margin Sequence LabellingConference on Computational Natural Language Learning (CoNLL)Oscar Täckström, Sumithra Velupillai, Martin Hassel, et al.2010 · 7 citations
15. A Lucene and Maximum Entropy Model Based Hedge Detection SystemConference on Computational Natural Language Learning (CoNLL)Lin Chen, Barbara Di Eugenio2010 · 5 citations
16. A Simple Ensemble Method for Hedge IdentificationConference on Computational Natural Language Learning (CoNLL)Ferenc Szidarovszky, Illés Solt, Domonkos Tikk2010 · 4 citations
17. Features for Detecting Hedge CuesConference on Computational Natural Language Learning (CoNLL)Nobuyuki Shimizu, Hiroshi Nakagawa2010

🧭 Top topics

Topics of its works in our library, with the number of works on each.

😊Sentiment & emotion (1)📐Syntax & grammar formalisms (1)

📚 Fields

🎭Arts and Humanities (17)🖥️Computer Science (17)🧬Biochemistry, Genetics and Molecular Biology (2)💭Psychology (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Harbin Institute of TechnologyHarbin · China2 works here🎓University of GenevaGeneva · Switzerland1 work here🎓Uppsala UniversityUppsala · Sweden1 work here🎓University of Wisconsin–MadisonMadison · United States1 work here🎓University of AntwerpAntwerp · Belgium1 work here🎓Stockholm UniversityStockholm · Sweden1 work here🎓Hebrew University of JerusalemJerusalem · Israel1 work here🎓Trinity College DublinDublin · Ireland1 work here🎓University of SzegedSzeged · Hungary1 work here🎓University of CambridgeCambridge · United Kingdom1 work here🎓Fudan UniversityShanghai · China1 work here🎓Pontifícia Universidade Católica do Rio de JaneiroRio de Janeiro · Brazil1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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